Mr.Xiong Yuanjun

Multimedia Lab
Department of Information Engineering
Chinese University of Hong Kong

SHB 703,
The Chinese University of Hong Kong,
Shatin, N.T.
Hong Kong, China

yjxiong at

Mr. Xiong Yuanjun is currently a postdoctoral fellow in department of information engineering, CUHK. He works closely with Prof. Lin Dahua and Prof. Tang Xiaoou. Yuanjun received his Ph.D. from the department of information engineering at CUHK in 2016 and B.Eng from department of automation at Tsinghua University in 2012. Detailed CV is also provided here.

Recent Activities


Limin Wang, Yuanjun Xiong, Dahua Lin, and Luc Van Gool, UntrimmedNets for Weakly Supervised Action Recognition and Detection, Computer Vision and Pattern Recognition (CVPR), Hawaii, U.S., 2017. [PDF][Code & Models]

Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool, Temporal Segment Networks: Towards Good Practices for Deep Action Recognition, European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, 2016. [PDF][Supplementary] [Code & Models][Project Page]

Yuanjun Xiong, Kai Zhu, Dahua Lin, and Xiaoou Tang, Recognize Complex Events from Static Images by Fusing Deep Channels, Computer Vision and Pattern Recognition (CVPR), Boston, U.S., 2015. [PDF][Supplementary] [Dataset]

Yuanjun Xiong, Wei Liu, Deli Zhao, and Xiaoou Tang. Zeta Hull Pursuits: Learning Nonconvex Data Hulls, Advances in Neural Information Processing System (NIPS* 27)*, Montreal, Canada, 2014. [PDF][Supplementary]

Yuanjun Xiong, Wei Liu, Deli Zhao, and Xiaoou Tang. Face Recognition via Archetype Hull Ranking, IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 2013.[PDF]

Courses and Projects

CSCI5280 Image Processing and Computer Vision


ENGG-1100 Introduction to Engineering Design - Teaching Assistant

Yuanjun's Blog

Yuanjun is now running a blog recording his research and life stuffs.


Other Links

Yuanjun's Github

Technical Resources

MMLAB 香港中文大學多媒體實驗室

The Chinese University of Hong Kong 香港中文大學

Last modified: Nov. 2016.